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Enregistrement W182776735 · doi:10.17877/de290r-8460

Introduction: Ironists, reformers, or rebels?

2009· article· en· W182776735 sur OpenAlexaboutno aff
Priska Gisler, Silke Schicktanz

Notice bibliographique

RevueTechnische Universität Dortmund Eldorado (Technische Universität Dortmund) · 2009
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueAfrican history and culture analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPolitical science

Résumé

récupéré en direct d'OpenAlex

Public engagement has become increasingly important within the sphere of science policy making. A broad range of discursive experiments and participatory methods involving citizens, consumers, and other key stakeholders are frequently used to consult the public about their opinion of new developments in science and technology. This special issue of STI-Studies aims at addressing the role(s) of scholars in this important field. Having personally participated in a variety of public engagement exercises and public discourse experiments, and having carefully considered how we (as social scientists) fit within these exercises, we have come to realise that our roles are heterogeneous, complex and ambiguous. Social scientists complete a number of tasks in participatory science policy making: For example, they initiate public and/or stake holder discourses by adopting or even developing participatory and discursive methods. They organise and moderate various dialogues (for the case of Germany see e.g. Renn 1999). They oversee various public discourse events and evaluate the process (for the case of Switzerland see e.g. Gisler 2000-2003). They analyse and comment on the impact of participatory methods, drawing on sociological and political theories (e.g. Maasen/Merz, 2006). In brief, social scientists play a variety of formal roles, serving as organisers, moderators, evaluators, commentators and others. However, these formal descriptions are rigid and do not fully convey the underlying social, moral and political dimensions of these roles. Furthermore, there is some ambivalence between the formal functions and the socio-moral-political roles taken on by social scientists. This ambivalence arises due to a conflict between the form and content of these roles as well as the fact that multiple roles may coincide with each other. For a better understanding of the ongoing debate on participatory science policy making, it is necessary to reflect upon this ambivalence because it affects social scientists accomplishments in this important field. Our contribution to the recent debate is a kind of self-reflexive turn: We would like to carefully consider the role of the social sciences and the role(s) social scientists expect and are expected to play in the field of participatory science policy making. Therefore, in this introduction, we raise the following questions from a theoretical point of view: How do the social sciences influence participatory policy procedures? What kind of explicit and/or implicit role(s) do social scientists play in the construction of political procedures and public debates? In an effort to address these questions, we will, first, argue how participatory policy making is linked to the social sciences and its methodologies (chapter 1). Second, we will contextualize the development of participatory policy making within the methodological framework of the social sciences and the broader historical shift towards the democratization of society (chapter 2). Third, we will assess some of the roles social scientists have come to play in participatory policy making. We suggest a way of rethinking such roles by unmasking their often rather implicit social, political and moral premises and by critically reflecting on the idea that there is only a formal role played by the social sciences. This way Canadian philosopher Ian Hacking (1999). We will highlight some of the complexities and moralities linked to the concrete roles the social sciences play, especially in the sphere of science and politics. This will be discussed in more detail in the case studies and articles assembled in this issue (chapter 3). Fourth, and finally, we would like to consider some looping effects that the deconstruction of social scientific roles may have on participatory policy making on a more general level (chapter 4). The social sciences, as a collection of disciplines, could eventually contribute more to participatory policy making by reflecting on its current role(s) and by revising the methods that are applied to specific scientific fields. In doing so, the social sciences may gain considerable insight into how they function as a thought collective.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,763
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,005
Études des sciences et des technologies0,0050,002
Communication savante0,0000,007
Science ouverte0,0030,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0060,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,255
Écart entre enseignants0,243 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2009
Routes d'admission1
Résumé présentoui

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